Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

The team’s most dynamic player, Fernando Tatis Jr., had gone hitless in another loss that featured another underwhelming ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

The decision in Recentive Analytics v. Fox Corp. is significant for patent attorneys and applicants in the AI space, particularly those seeking protection for inventions that incorporate machine ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

Conclusions: Our results suggest that Bioptic’s molecular search engine significantly enhances identification of potent and selective inhibitors for a specific target, and, paired with the Oncobox ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

This study explores an advanced approach to thyroid disease prediction using selective features and machine learning techniques. The proposed methodology uses Bayesian Search for hyperparameter tuning ...